11+ Electrical wiring Jobs in Coimbatore | Electrical wiring Job openings in Coimbatore

Mechanical Engineer – Job Description

A Mechanical Engineer is responsible for designing, developing, testing, and maintaining mechanical systems, machines, and components. The role includes creating technical drawings and 3D models using CAD software, performing calculations and simulations, and selecting appropriate materials and manufacturing processes.

Mechanical Engineers collaborate with production, quality, and maintenance teams to ensure designs are functional, safe, and cost-effective. They oversee prototype development, troubleshoot mechanical issues, and support installation and commissioning activities. Compliance with engineering standards, safety regulations, and continuous improvement initiatives are key responsibilities.

Key Skills: CAD software (AutoCAD, SolidWorks, CATIA), problem-solving, analytical skills, technical documentation.

Qualifications: Bachelor’s degree or Diploma in Mechanical Engineering.

Electrical Engineer – Job Description

An Electrical Engineer is responsible for designing, developing, installing, and maintaining electrical systems and equipment. The role involves preparing electrical schematics, wiring diagrams, control panel layouts, and ensuring systems comply with safety and regulatory standards.

Electrical Engineers work with automation, instrumentation, and maintenance teams to troubleshoot electrical faults, improve system efficiency, and support commissioning activities. They also handle load calculations, cable sizing, equipment selection, and preventive maintenance planning.

Key Skills: Electrical schematics, PLC basics, troubleshooting, safety compliance.

Qualifications: Bachelor’s degree or Diploma in Electrical Engineering.

Job Title : Senior System Administrator

Experience : 7 to 12 Years

Location : Bangalore (Whitefield/Domlur) or Coimbatore

Work Mode :

• First 3 Months : Work From Office (5 Days)
• Post-Probation : Hybrid (3 Days WFO)
• Shift : Rotational (Day & Night)
• Notice Period : Immediate to 30 Days
• Salary : Up to ₹24 LPA (including 8% variable), slightly negotiable



Role Overview :

Seeking a Senior System Administrator with strong experience in server administration, virtualization, automation, and hybrid infrastructure. The role involves managing Windows environments, scripting, cloud/on-prem operations, and ensuring 24x7 system availability.

Mandatory Skills :

Windows Server, Virtualization (Citrix/VMware/Nutanix/Hyper-V), Office 365, Intune, PowerShell, Terraform/Ansible, CI/CD, Hybrid Cloud (Azure), Monitoring, Backup, NOC, DCO.

Key Responsibilities :

• Manage physical/virtual Windows servers and core services (AD, DNS, DHCP).
• Automate infrastructure using Terraform/Ansible.
• Administer Office 365, Intune, and ensure compliance.
• Support hybrid on-prem + Azure environments.
• Handle monitoring, backups, disaster recovery, and incident response.
• Collaborate on DevOps pipelines and write automation scripts (PowerShell).

Nice to Have :

MCSA/MCSE/RHCE, Azure admin experience, team leadership background

Interview Rounds :

L1 – Technical (Platform)

L2 – Technical

L3 – Techno-Managerial

L4 – HR

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Job Title: Assistant Professor – Commerce / Computer Science

Organization: KGiSL Educational Institutions.

Job Description:

We are looking for qualified and passionate Assistant Professors for the Commerce and Computer Science departments. Candidates should be committed to teaching, research, and academic development.

Eligibility:

• Master’s Degree in Commerce / Computer Science or relevant discipline with good academic record
• UGC NET / SET qualified candidates preferred
• Freshers with UGC NET / SET can also apply
• Ph.D. candidates will have added advantage

Roles and Responsibilities:

• Deliver lectures and conduct tutorials for undergraduate and postgraduate students
• Prepare lesson plans, course materials, and academic assessments
• Guide students in projects, assignments, and academic activities
• Participate in research, publications, and academic development programs
• Contribute to departmental and institutional activities

Required Skills:

• Subject knowledge
• Communication
• Teaching ability
• Research orientation
• Presentation skills
• Student mentoring

Location: Coimbatore, Tamil Nadu

Name of the College: KGiSL Institute of Technology

College Profile: The main objective of KGiSL Institute of Technology is to

provide industry embedded education and to mold the students for leadership in

industry, government, and educational institutions; to advance the knowledge

base of the engineering professions; and to influence the future directions of

engineering education and practice. The ability to connect to the future

challenges and deliver industry-ready human resources is a credibility that

KGISL Educational Institutions have progressively excelled at. Industry -

readiness of its students is what will eventually elevate an institution to star

status and its competitiveness in the job market. Choice of such an institution

will depend on its proximity to industry, the relevance of its learning

programme to real-time industry and the active connect that a student will have

with industry professionals.

Job Title: Associate Professor

Departments:

● CSE

Qualification: 

● ME/M.Tech & Ph.D

Experience:

● Experience - 10-15 Years

Candidate Profile:

● Candidate should complete their PG & Ph.D in the relevant discipline

● Candidate should have Good Communication Skills

● Commitment towards work

Strong SAP QM Functional Consultant Profiles

Mandatory (Experience 1) – Must have 6+ years of total SAP experience with strong hands-on expertise in SAP QM (Quality Management).

Mandatory (Experience 2) – Must have worked as a Business SAP Process Consultant with strong understanding of quality processes integrated within manufacturing environments.

Mandatory (Experience 3) – Must have completed minimum 2 end-to-end SAP QM implementations and rollout experience (full lifecycle exposure including Blueprint, Configuration, Testing, Go-Live, and Hypercare).

Mandatory (Experience 4) – Must have strong integration experience with SAP PP (Production Planning), SAP PM (Plant Maintenance), SAP EWM (Extended Warehouse Management), and SAP FI (Finance).

Mandatory (Experience 5) – Must have strong S/4HANA experience in SAP QM.

Mandatory (Education Background) – Must hold a degree in Mechanical or Electronics Engineering with exposure to Tool Design, Production Planning, or Product Engineering.

Mandatory (Stability Criteria) – Candidate must demonstrate career stability with minimum 2 years tenure in at least one organization (avoid frequent job changes).

Mandatory (Process Knowledge) – Strong functional knowledge of Quality Planning, Quality Inspection (Incoming, In-Process, Final), Quality Notifications, Audit Management, and integration with production and procurement cycles.

Job Description:

We are seeking an experienced Cognos Developer with strong expertise in Cognos Analytics 11 (C11) to design, develop, and maintain interactive dashboards and reports. The ideal candidate will work closely with business stakeholders to translate requirements into scalable BI solutions, leveraging Cognos Framework Manager, Report Studio, and Dashboard capabilities.

Key Responsibilities:

• Develop and maintain reports and dashboards using Cognos C11.
• Work with stakeholders to gather and analyze reporting requirements.
• Design data models and metadata using Framework Manager.
• Optimize report performance and troubleshoot issues.
• Ensure data accuracy and report integrity.

Required Skills:

• 3+ years of experience with IBM Cognos (preferably C11).
• Proficient in creating dashboards, visualizations, and reports.
• Strong SQL and data analysis skills.
• Experience with Framework Manager and Data Modules.
• 
  

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Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Title: 

Node Js Developer

Ideal candidates will have 1-3 years of experience  in Node JS and AWS.

Responsibilities: 

• Translate application storyboards and use cases into functional applications
• Design, build and maintain efficient, reusable, and reliable Node JS code
• Ensure the best possible performance, quality, and responsiveness of applications
• Identify bottlenecks and bugs, and devise solutions to these problems, Help maintain code quality, organization, and automation.
• Triage and resolve complex + systemic issues reported on existing production systems
• Communicate effectively with  product owners, and development team members to facilitate understanding of deliverables, estimates, and prioritization
• Contribute to production deployments, including documentation of technical specifications and release notes
• Designs and develops quality software that conforms to department standards and code style
• Writing reusable, testable, and efficient code, create automated test cases following TDD/BDD best practices
• Maintain and enhance existing NodeJS codebase.
• Organize an agile development process that facilitates collaboration, provides transparency, empowers the project team, surfaces and resolves impediments,delivers high-quality software, focuses on delivering business value, and continuously looks to improve.
• Take on a championship role in on-time, high-quality delivery of products through the entire application lifecycle.

What will you work on?

• Architecting clever technical solutions
• Hands-on development using NodeJS and other Javascript frameworks
• Recommend technical frameworks and tech stacks
• Define REST, or GraphQL APIs, document APIs and develop the API handlers
• Design and develop with serverless and scalable systems
• Integrate with 3rd party systems
• Create architectural solution prototypes
• Lead the team, code reviews, and problem-solving

What Makes You A Great Fit?

• 1+ years of software experience with Node JS, Javascript frameworks related to webstack
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Experience with use of serverless functions from AWS
• Experience with architecture of technology systems having hands-on expertise in backend and cloud systems ( AWS, GCP)
• Expertise with NoSQL databases (Mongo, ElasticSearch, Redis) including design of schemas and development for these databases
• Knowledge of DevOps practices and CI/CD pipelines
• Experience in Microservice architecture and development including REST-based APIs.
• Highly collaborative with an affinity for solving complex problems through dialogue with team members.
• Curious, always seeking the whys and hows in order to gain a deeper and more complete understanding of the business and technology.
• Comfortable with ambiguity can begin to explore and solve complex problems when the problem and solution are not well-defined.
• Ability to multitask, switching between various projects/tasks of different natures and complexity with ease
• Knowledge of git based workflows such as gitflow
• Experience with Python in addition to the core knowledge of Node JS is a plus
• Chatbot, Machine Learning, Data Science/Big Data experience will be a plus
• Excellent communication skills, verbal and written

Competencies & Behavior

• Excellent communication and interpersonal skills
• Implement design thinking for different strategieS
• Attention to detail and the ability to work to tight deadlines
• Strong experience in cloud server infrastructure
• Ability to work on complex applications, perform product analysis, development tasks of complex web
• Jumping on a call with clients to understand the requirement and profile them the right solution, helping formulate an effective solution and turning it into a working application
• Conducting website performance and unit tests
• Heavy involvement in the requirements gathering, development and operational stages of new projects
• Troubleshoot and debug related application defects with existing and new applications
• Work collaboratively with the team members and train them as and when required.

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.